Backgroud

Technologies such as AI, cloud technology, big data, machine learning, and the Internet of Things (IoT), are the driving forces behind the current digital transformation and technological advancement in healthcare sector.  These technologies are being used to improve the efficiency and accuracy of clinical diagnoses, assist in patient care, address healthcare personnel shortages, support medical research and drug development, and extend into broader public health areas, including regulatory measures and responses during pandemics.

While local media usually cover issues such as deployment models, business opportunities of these emerging technologies, less attention was paid to the possible data privacy and cybersecurity risks. In particular, the integration of AIoT and healthcare holds infinite possibilities, but there are still governance issues that need to be addressed, such as the requirements for de-identification of clinical data during product development. The World Health Organization (WHO) has already put forward six principles for the development of smart healthcare as early as 2021, including protecting people’s autonomy, ensuring information transparency, establishing accountability mechanisms, and ensuring inclusiveness and fairness. These related issues deserve further discussion among multiple stakeholders on how to balance industrial innovation with meeting these principles.

This lecture invites experts in healthcare and smart technology to give an overview of the AIoT　development in healthcare, and the advantages and challenges it faces. Furthermore, it aims to enhance understanding of the regulatory coordination issues involved in the application of healthcare AI and how technology can be used to achieve the security and privacy protection of medical data.

Time & Venue

Venue: IEAT International Conference Center Meeting 8F Room 2

(No. 350, Songjiang Road, Zhongshan District, Taipei City)

Agenda